Most L&D teams already have Copilot, ChatGPT or Claude. What's missing is a view of how the team actually works with them. Each person builds their own prompts and automations, and the lead can't say how far along the team is or what changed.

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In this session, Parker Veroff walks through the method Nebius Academy used on its own 20-person Upskilling team: map each person's workflows, connect them into one team map, then build a roadmap from what the map shows. In 30 days, the team mapped 97 workflows and got 22 proposed automations that it now owns.

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The first lesson: map before you automate. The AI practice is usually already there. Nobody can see it from above.

What you'll learn

Claude Code LangGraph

How to map what your team actually does with AI, person by person, before you automate anything.

How to join individual maps into one team view that shows where work repeats and where it stalls.

How to turn that map into a roadmap your team owns, plus a free playbook you can start with tomorrow.

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What the team map uncovered

One workflow, run several ways

Different people ran the same workflow differently, with different amounts of AI. The result depended on who picked it up.

Good practice with no owner

Strong ways of working existed, but they lived with individuals. Almost none were written down as a team standard.

Pain at both ends

Work stalled at the start, getting to clear requirements, and at the end, in quality control. The judgment calls in the middle held up.

How do you map a team's work for AI?

Three steps. Each one feeds the next.

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Map each person's workflows

Each person connects the tools they already use, read-only, with personal data masked. A short interview fills the gaps.

Build the team map

Individual maps join into one view: who works on what, how often, where work stalls, and which workflows have no written standard.

Build the roadmap

Each proposal names the problem, the fix and the agent to build. Start with the ones that remove the loudest pain.

Who it's for

L&D and learning leaders
Team leads who own AI results
Heads of AI transformation